Using np.split() to Divide Arrays
📖 Scenario: Imagine you have a list of daily temperatures for a week. You want to split this list into smaller parts to analyze each part separately.
🎯 Goal: You will create a NumPy array of temperatures, set a split index, use np.split() to divide the array, and then print the split parts.
📋 What You'll Learn
Create a NumPy array called
temps with exact values: [22, 24, 19, 23, 25, 20, 21]Create a variable called
split_index with the value 3Use
np.split() with temps and [split_index] to split the array into two partsStore the result in a variable called
split_tempsPrint the variable
split_temps💡 Why This Matters
🌍 Real World
Splitting data arrays helps analyze different sections separately, like dividing weekly sales data into weekdays and weekends.
💼 Career
Data scientists often split datasets to prepare for analysis, testing, or training machine learning models.
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